{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# preparing notebook for visualization purposes\n",
    "# (only show outputs between t=0s and t=30s)\n",
    "from pyannote.core import notebook, Segment\n",
    "notebook.crop = Segment(0, 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Applying a pretrained model\n",
    "\n",
    "In this tutorial, you will learn how to apply `pyannote.audio` models on an audio file, whose manual annotation is depicted below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# clone pyannote-audio Github repository and update ROOT_DIR accordingly\n",
    "ROOT_DIR = \"/Users/hbredin/Development/pyannote/pyannote-audio\"\n",
    "AUDIO_FILE = f\"{ROOT_DIR}/tutorials/assets/sample.wav\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pyannote.core.annotation.Annotation>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyannote.database.util import load_rttm\n",
    "REFERENCE = f\"{ROOT_DIR}/tutorials/assets/sample.rttm\"\n",
    "reference = load_rttm(REFERENCE)[\"sample\"]\n",
    "reference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading models from 🤗 hub\n",
    "\n",
    "Pretrained models are available on [🤗 Huggingface model hub](https://hf.co/models?other=pyannote-audio-model) and can be listed by looking for the [`pyannote-audio-model`](https://hf.co/models?other=pyannote-audio-model) tag."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['pyannote/segmentation',\n",
       " 'pyannote/embedding',\n",
       " 'pyannote/TestModelForContinuousIntegration',\n",
       " 'pyannote/Segmentation-PyanNet-DIHARD']"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from huggingface_hub import HfApi\n",
    "available_models = [m.modelId for m in HfApi().list_models(filter=\"pyannote-audio-model\")]\n",
    "available_models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To load the speaker segmentation model, \n",
    "\n",
    "* accept the user conditions on [hf.co/pyannote/segmentation](https://hf.co/pyannote/segmentation).\n",
    "* login using `notebook_login` below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Login successful\n",
      "Your token has been saved to /Users/hbredin/.huggingface/token\n",
      "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n",
      "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n",
      "\n",
      "git config --global credential.helper store\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from huggingface_hub import notebook_login\n",
    "notebook_login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyannote.audio import Model\n",
    "model = Model.from_pretrained(\"pyannote/segmentation\", use_auth_token=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... which consists in SincNet feature extraction (`sincnet`) , LSTM sequence modeling (`lstm`), a few feed-forward layers (`linear`), and a final multi-label `classifier`: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  | Name       | Type       | Params | In sizes      | Out sizes                                  \n",
       "--------------------------------------------------------------------------------------------------------\n",
       "0 | sincnet    | SincNet    | 42.6 K | [3, 1, 32000] | [3, 60, 115]                               \n",
       "1 | lstm       | LSTM       | 1.4 M  | [3, 115, 60]  | [[3, 115, 256], [[8, 3, 128], [8, 3, 128]]]\n",
       "2 | linear     | ModuleList | 49.4 K | ?             | ?                                          \n",
       "3 | classifier | Linear     | 387    | [3, 115, 128] | [3, 115, 3]                                \n",
       "4 | activation | Sigmoid    | 0      | [3, 115, 3]   | [3, 115, 3]                                \n",
       "--------------------------------------------------------------------------------------------------------\n",
       "1.5 M     Trainable params\n",
       "0         Non-trainable params\n",
       "1.5 M     Total params\n",
       "5.891     Total estimated model params size (MB)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.summarize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More details about the model are provided by its specifications... "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Specifications(problem=<Problem.MULTI_LABEL_CLASSIFICATION: 2>, resolution=<Resolution.FRAME: 1>, duration=5.0, warm_up=(0.0, 0.0), classes=['speaker#1', 'speaker#2', 'speaker#3'], permutation_invariant=True)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "specs = model.specifications\n",
    "specs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... which can be understood like that:\n",
    "\n",
    "* `duration = 5.0`: the model ingests 5s-long audio chunks\n",
    "* `Resolution.FRAME` and `len(classes) == 3`:  the model output a sequence of frame-wise 3-dimensoinal scores\n",
    "* `Problem.MULTI_LABEL_CLASSIFICATION` for each frame, more than one speaker can be active at once"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To apply the model on the audio file, we wrap it into an `Inference` instance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3BC4AII8FI5mdnFvqneeitSdLGRddZFwAwOHQm3ExjvZ22aXO8rU/S+31GagVAGDEiiqdZXfziE/pCjnDRBV6XDJNIxu1AgAgLxC4AIA8lsy4yNBQUZJUVuD0zG3L0lBRzeMdugQAMKxgJKa2eAC6cjxzCtWdKM1eLcXC0rM/zlDtAAAjMpaMi+T8FgwTBQCY3AhcAEAey/QcF5IUKMzuUFGJjItKhooCgKw50B6UJPnc5vgyLgxDesd1zvrLv2OSbgA4nMYwx0ViqCgCFwCAyY7ABQDksZ54j6pMBi7K4nNcZGNybtu21RIPiJQzVBQAZE19mxO4qC0rkGGMc6iQhedKZbOlYKu0+e5x1w0AMELjyrhgfgsAwORG4AIA8pRt2+qOZH6oqMQQTm1ZmOOiKxxTOGpJGsdksQCAYTXEAxfTS/3jL8x0Scvf76zvemr85QEARiaZcTGGOS4yOAceAAD5iMAFAOSpUNSSbTvrBZ4MZlwUJjIuMj9UVGKYKL/H5MsUAGTR/jZnSKcZgQwELiSp9rh4wa9kpjwAwPAK45NzjyLjojsxVFQGOzYBAJCPCFwAQJ5KzG8hZbZHVaAgMcdF5jMuWuKBiwom5gaArEpmXGQscHGMs2x8XYoEM1MmAGBoY5jjojPE5NwAgKmBwAUA5Knu+Pi1XrcplznO8ctTlMWDCq1ZGCoqMb9FGYELAMiqxBwXM8oKMlNg6Uyn568VlQ5uzkyZAIChJea46G6RLGtEpyS+IxSR3QwAmOQIXABAnuqJZ1xkcmJuSSqPDxXVloWhotriWRyJ4agAANmRyLiYkYk5LiTJMKTpRzvrB7ZkpkwAwNASQ0XZMSnYOqJTOhNDRZFxAQCY5AhcAECe6klMzJ3B+S2k3qGispFxkZjwO/EaAIDsqM/0UFGSVD7HWbbtzVyZAIDBub2SL+Csj3Cei2TGhY85LgAAkxuBCwDIU8GIky7uz3DgojQeVOgIRmUnZv/OkETggowLAMiecNRSU2dIUgYn55ak0lnOksAFABw+RfGsixHOc8EcFwCAqYLABQDkqWA848LnzmxTXeJ3vuTELDttAvBMSAQuSsm4AICsOdDuZFt43aYqijI4p1AgHrhoJ3ABAIdNYp6LkWZcJIaKyvBwsgAA5BsCFwCQp0LR7GRcFHhccscn+24PZna4KIaKAoDsS07MHfDLMIzMFRyY6Szb9mWuTADA0IoSE3SPLHDRFSbjAgAwNRC4AIA8lci48Hsy21QbhpE2XFQmtXYTuACAbKtv65EkTc/UxNwJgZShojI8lCAAYBCJCbq7mkd0eFd8qKhCL4ELAMDkRuACAPJU71BRmU8DTwwX1Z7hCbrbybgAgKxrSMm4yKjSeMZFtEfqOZTZsgEAAxttxkV8qKhiMi4AAJMcgQsAyFPB5FBRmW+qS/3ZybhgqCgAyL7kUFFlBZkt2O2TiqY56217Mls2AGBgo5zjIjFUVKGPOS4AAJMbgQsAyFOh5FBRmf9SUloQz7hgjgsAmHASQ0VlPONCShkuinkuAOCwSASMR5xx4QQuyLgAAEx2BC4AIE8lJ+fOxlBRPiewkOmhohKBi7ICb0bLBQD02tnULUmqKy/MfOGJ4aLaCVwAwGFRNMo5LsJO56ZCLxkXAIDJjcAFAOSp5BwX2RgqKplxkbmhosJRSz3xOpNxAQDZEYlZ2t7UKUlaWFOc+RcI1DlLhooCgMOjcORzXERilsLxzk1kXAAAJjsCFwCQp4LZHCoqPsdFJoeKSmRbGEbv5N8AgMza2dSlSMxWkdelmZme40KSAvGMC4aKAoDDoyhljgvbHvLQ7vjE3JJU6OV6GwAwuRG4AIA81TtUVOab6pJE4KIncxkXbT1hp2yfW6ZpZKxcAECvrQc6JEkLa0pkGFloaxNDRbXtzXzZAJBFoWhM9jA3/vNSIuPCikih9iEP7YxPzO11mfJm4TsCAAD5hE86AMhTvUNFZW9y7o4MZlw0dzqBi8piX8bKBACke/OAM0zU4pqS7LxAYqgo5rgAMIE8+voBHfm1h/STJ7bluiqj5/FL3vjQf11DDxfVHZ+Yu9DH/BYAgMmPwAUA5KlgJJ5xkYXARTLjIoNzXDR3xQMXRUzMDQDZ8tw2Z/LWo2aWZucFEkNFte+XrNjQxwJAHojGLF3zuw2KWba+89DWjA6FetgU1zjLYYLGnfHARRHDRAEApgACFwCQp0LReMZFFtLAS+NzUCTmpciE5s6QJKmyeIjARSwqbb5L+r/rpT3PZ+y1AWAqaOwI6YVdLZKkc5bWZOdFimsk0y3ZMamjPjuvAQAZ9OgbBxWJ9Q4Rdefzu3NYmzGqWuQsG7cOeVh32Pl+UETGBQBgCiBwAQB5KpsZFzWlfklSQ1tPxspsGm6oqPZ66daTpT9dJb34S+lX50ub/pyx1weAye7vWxpk29KKWQHVZmNibkkyXVJglrPeOgFv/gGYcp7YelCSVOR1rplve3qnIjErl1UavWmLneUwgYvEMK9FPjIuAACTH4ELAMhTiTku/J7MN9Uzy50bXgc7QgpHM/PFriU+VFTVQENFxaLSXz4mNW2V/GVSxXynN+/dn5J2PZOR1weAye7B1xokSecvm5HdFyqf5yxbdmT3dQBgnGzb1tqtjZKk7192jKqKfapvC+q+VydYxti0Jc6y8Y0hD9t7yOl0VBvIUvAaAIA8QuACAPJUMB5Q8Lszn3FRWeSVz23KtqWGtmBGymzucoaKqhgocLH2m9Kup5yJBz/2qPTZDdLS90ixsPSHD0gbfi3VvyIF2zJSFwCYbNq6I3o2Pr/F+cumZ/fFyuc6y0M7s/s6ADBObx/s1P62oHxuU6ctmqarTp4jSfrZuu2ybXuYs/PICDMuEoGLWRUELgAAkx+BCwDIU6F4xoUvCxkXhmFoZnyYkX2tmRkuatChojoOSE9931m/8AdS1QLJNKVLfirNXCUFW6W/XSv99DTpm7OlX10gbX9CmkhfNgEgyx7cXK+oZWvJ9BLNqyrK7otVxDMuDpFxASC/rX3TybY4cX6l/B6XPnTiHBV4XNpS3657Nu7Pce1GITHHRddBqfPgoIftaemWJM2uKDwctQIAIKcIXABAngpFszfHhaTk+OiZClwMOjn3q2skKyrNOl5a/r7e7d5C6ar/k07/V2dfYZWzffcz0u0XST9aKd3xj9JvLpR+f7n03P+TIpmbkwMAJpI71jvzTVx87MzsvxgZFwAmiETg4vRF0yRJ5UVefeK0+ZKkL/91k/Zn6Do363zFUs1yZ33HukEP2x0PXNSVE7gAAEx+BC4AIE8l57jIwlBRkpIZF5n6QtecmOOib8bFxt87y2M/3P8kT4F05peljz0ifXGb9IXN0gmflNx+qWWb9NZDzpe3Nx+QHvyS9INjpOd/LkVDGakzAEwE67c369W9bfK6TL1/5azsv2AicMEcFwDyWFtPROt3tEjqDVxI0ufPXqhVc8rVE4npfx9/O1fVG735pzvLbY8PuNu27eRQUXVkXAAApgACFwCQp7I5ObeUknFxaPyBi0jMUmt3RFKfOS6a3pYaX5dMt3TkxcMXFJglvfPb0g1vSR9YI134Q+nSX0jn/ocUqJM6G6T7b5B+eJwTwDi0iyGlAExqPeGYbvrbFknSe1fO6j8cXzZUOL2V1d0kdbdk//UAYAxuf2anwlFLi2tKdMS03iH0XKahG/7BmTPijy/uUVtPJFdVHJ0jznSW2x6TLKvf7qbOsHoiMRlGbwckAAAmM3euKwAAGFhiqChfljIu5sW/4L3R0D7usnY0dUmSirwuVRSmBC623ucs554qFZSNvEB/qbT4/PRtJ14jvXy7tO67UvteJ4AhSWWzpaMvl1ZcLlUeMfY3AQB55mBHUJ/87Qa9Xt+uUr9bN5y36PC8sK9EKp/nzHHR8Ko0/4zD87oAMELRmKXbntkpSfr0mUfIMIy0/SfNr9T8aUXa3tilZ7c16fxlM3JQy1Ga8w7JWyJ17HeGTp17StrurQ0dkpyghddNH1QAwOTHpx0A5CHbtrOecXFsXZkkafP+9uRrjdXr9U7wY8mMUplm/IujbUub/uysL3nXuMqXJLm90vEfkz7/snT+t6Ta45xMjtbd0rpvSz86Trr9Yib2BjApvLKnVe/50dN6eXerSv1u/eqq4w9PtkXCjKOdZf0rh+81AWCEXtrdqpausAIFHr1r+cBBidMWOsNHrXur6XBWbew8BdKyS5z1l+/ot3v9jmZJ0vFzKw5nrQAAyBkCFwCQhyIxW1b83rsvS5NzzyovUFWxT1HL1ub9beMq6/V6pwfYkuklvRt3P+f01HX7paMuHVf5aTx+6aRrpE88Lv3rHum9v5QWnCMZprT9cWdi71+dL+14MnOvCQCH0QOb6vX+nz6rhvagFlQX657PnqJVh/tG1fRE4OLVw/u6ADACj71xUJJ0xuJpcrsGvq1x2qIqSdK6NxtlT5ROLcfE54R77S9SR0ParvXbnaH7TppP4AIAMDUQuACAPBSM9mZAZCvjwjAMHTu7TJL00q7WcZWVGG5qyYzS3o0v/85ZLn+/VFQ5rvIH5S2Ulr9P+vBfpM9vlE74hBMo2fOc9Jt3S797r9TTmp3XBoAsePrtJn3+zpcVjlo6Z2mN7vr0yZpXVTT8iZk24xhnue9FstgA5J0ntjqBi7OWVA96zEnzK+VxGdp7qCc5rGneqztBqjtJioWkp/4nubknHNPGPa2SnPcFAMBUQOACAPJQW3yia6/blHeQXmSZsGpOuSRp/Y6xT74aiVnatNfJ2FialnHxjLMcyaTcmVA+R3rnd5wAxvEfl0yP9PYj0h3vlyLBw1MHABiHzfvb9MnfblAkZutdy2fop1esVInfk5vK1J0guQukQzulfRtyUwcAGMChrrDeiM/38I4FVYMeV+h1a9UcJzvhyYkyXJRhSGd8yVl//mfS/o2SpGe2NSkcszSzrECzKwpzVz8AAA4jAhcAkIca2p0b7dNL/f0mG8yk1Uc4PbbWb29WNGaNqYwHX2tQc1dYVcVeLZ8VcDZ2Nkot2531WasyUdWRK50hveu/pY8/JvnLpL3PS3//t8NbBwAYpf2tPbrqthfUGYrqxHkV+u4/rpDLzF77Pyx/qXTkRc76hl/nrh4A0MfzO50ONwuqi1U1zNw/py2Kz3PxZmPW65UxR5zlDLNqx6R7PyfFono8nmFy5pJpWf1uAABAPiFwAWDcJsyYsRNIQ1tv4GJIVswZCskaW9DhqNqASvxudYSi2ry/fUxl/PqZnZKkD504Rz53fD6Ovc87y2lLpYKyMZU7bjOOdua/kJybbsHxzeMBANkSjMT0qd9tUGNHSItrSvSzj6ySP0vzG43Kqo86y1fu7A1GA0COPbfdmaT6xHnDz/WQmOfi2e3NCkfHdr2cExd8y+mA0/CqIuu+r4e3HJA09NBYAABMNgQuAIzZGw3t+swdL+k7D23NdVUmnWTgIjBA4MKypDcfcoZAunmm9K050s0zpN+9T3rxNufmUtte6a1HpJdulx6/RbrrU9KT35NeWZMW5HCZhk6c52RdPPr6gVHX89W9rdqw65A8LkMfOml2747ta51l3QmjLjOjFp4jVS2SrIj01sO5rQsADOLrf9uiV/a2KVDg0S+uXKVAQY6Gh+pr9knSEWc7beiDX2GuCwB54em3nWGfRjLXw9Lppaoq9qo7HNOGXYeyXbXMKa6Wzv+mJMlc900Vd2zX9FK/Tj5i8KGxAACYbNy5rgCAiWvfoR7dt6leJT63PnXGEbkbh3sSSg4VlQhc7HlBevy/nKBER70UC6efEA1Kbz/sPIbT+IZ0zo3Jp+85plaPvH5Af96wV9ees2jEQ5OEojHdfP/rkqR3H12r6pJ4XS1L2nKPs77kXSMqK6uWvEt66k3pjfucibwBII889VaT/vD8bhmG9MMPHKu6fBu7/Lz/lH72pPTmA9L6/yed9Klc1wjAFLb3ULfePNAp05BOWzht2ONN09CpC6fprpf3ae2bjclhUieEFZdLr/xerh3rdKa5USsvvDA/svEAADhMyLgAMGZnLq7WEdOK1BGK6g/P7851dSaVROCiptQvHdgi3X6RtP1xqXWXE7TwB6STPyd96lnpqwekTz8nnX2jNHOl5PI6E1NXLpQW/oO04oPSsvc550jSU9+TWnYkX+u8I2tUVujR/rag7ttUP6L6NXeGdOWvntdz21tU6HXp02cc0btz97NSZ4PkC0jzz8zYz2TMFseDJ28/IkXDQx8LAIdROGrpxntfkyRduXquTl80/E24w67mSOnsrznrD/6r9NJvc1sfAFPa41uduSpWzilXoHBknabOjA+vtOaF3WoPRrJWt4wzDNmzV0uSFhl7e+eSAwBgiiDjAsCYmaahT5w2X1/6yyZ9/+G3dNaSai2oLsl1tSaFA6lzXKz/nhTpkuacIp31b1JgplQyQ3KlfFmrXuo8Tr2+dyiPgSbu+9UF0u5npO1PSBXzJEl+j0sfPXmevv/Im/rG37bohLkVAw9RFffavjZ98rcbtK+1R0Vel37+kVVaWJPy7/7KH5zl0gslt3c8P4bMmLlSKq6ROg9IO5+UFpyd6xoBgCTptqd3aFtjlyqLvPrCuYtyXZ3Brf6s1L5feu4nzkSx0aB0wsdzXSsAU4xt21rzgtNZ6qwlNSM+753Lput/phVpe2OXfvjIW/q3dx+ZrSpmXGfpQpVIWmTu7c1uBgBgiiDjAsC4vG9lnd6xoFI9kZg+c8fL6gnHcl2lSaE+HriYUWxIW+51Np7xJWnOaqlsdnrQoi/DGDhoIUnzT3eWO9albb7mjPlaUF2sps6Q/vGnz+rJtxplWb1jmUdill7efUg33vOaLv3JM9rX2qN5VUW6+zPv0MkLUsbaDXVKm+9y1o/54Kjec9aYprT4Amd9059zWxcAiNvT0q3/eeQtSdKXLliSP/NaDMQwpH+4WTr+45Js6f4bpK0P5rpWAKaYR18/qNf2tavA49Llx9eN+Dy3y9S/v8sJVvzy6R268/ndsifInD0H/HMlSceY2+Rt3ORcawMAMEUQuAAwLi7T0P9cdqyqin3aeqBD1975sqIxa/gTMaj9rT2qb+uRJM1vWy8FW6Xi6dKcd4y/8LmnOssd66RIMLnZ53bp1x89XjPLCrS7pVtX/PJ5HXnjgzr7u0/o9O88ruU3PaRLfvKMfvPsLoVjls5ZWq27P/OO9EwLSdrwayncKVXMl+acPP76ZsqKeBDllT9I+zbkti4AprxozNI//+kV9URiOmFehd533KxcV2l4hiG98zvSCZ9wnt/zGWnfS7mtE4C88vjWg3ptX1vGyz3YHtQd63fpC3/cKEm6YvUclReNLqv3zCXVumxVnWxb+te/btIVv3xe2xvzPwiw16jtffLT06TvHyk9d6sUm0BDXgEAMEYELgCM27QSn/73g8fK6zb19y0H9OW/bkrrrY/RWfPCHlm2dNL8CpVti2dbLLtUMjMwGd+sVc6wSd1N0sNfS99VXqj7P3+qrlw9R8U+t4IRS9sau7SruVvBiKWyQo8uWDZdv/2nE/Tzj6zq3zs42C49+V1n/ZQvDJ71kQuzT5SWv1+SLT3/i1zXBsAU952/b9XzO1pU5HXpW+89WqaZR+3lUAxDOvcb0vTlzufIL86W7vqU1PhmrmsGIMfWvdmoj//mRV35q+f15oGOcZUVs2xt2NWi/35oq971wyd1ws2P6qt3vaaOYFQrZgV0/RiH1vuvS5bpyxcskc9t6qm3m/QP/7NO33zgDXWFouOqbzbVd8b0srWgd0OwzZlv6N7P5a5SAAAcJoY9xhzJ9vZ2BQIBtbW1qbS0NNP1AjABPbS5QZ/63QZZtvSeFbX65nuXq9DLVDqjsbOpSxf+6Cl1hKL63/cv1rsePFWKdEsfe0yatTIzL/LWI9Id73XWP7BGWnx+v0MiMUt7D/Vof2uPfG5TFUVeza0sGvrm2uO3SGu/6UwK/unnJFee/dtve0z67SVS6UzpC5vzK7ACYEqwbVu/fmanvv63LZKkn3zoOL1z+Ywc12oMgm3OTbMt9/Rum71aqjtRqj5SqlroDGtYWElbC0wR7cGIPvCz57R5f7sMQzplQZWOnFGqiiKvinxuBQo8qiz2ym2aOmJakSqLfZKkrlBUW+rb9dq+Nm3a16Y36ju051C3OoLpwYQVswJ65/IZ+tBJTgeb8djZ1KWv/21zcqLvmlKf/vm8xXrPilr5PRnoKJRB33/4Tf3x0ef0saVR/dOHr3Cym++/QTJM53q2tHbYMgAAONwyFTcgcAFgfF74pbTofGfCaEn3bNynf/7jK4patmaVF+jzZy3UxcfOlNdNgtdw3jrQoat/84L2tPTo+LnlunP1Prnu+phUPk/6/MuZvfnz4JedSVYLKqRrnpQC4xympHGr9LMznUnE//F26ciLMlPPTAp3S9+aI8XC0mc3SFULhj8H6ayY1NXoTHTeccAJTtUsd7KBCityXTvkUMyy5ZooWQM50hmK6l//8qr+79V6SdLHT52nr75r4kwQO6C9G6Qn/1t680HJHmCYyOIaZ5jDue+Q5pwiTVtMIAOYxJo6Q7r+j69o3ZuNwx47v6pI3eGYDnQENdAdiUCBR6ctmqYzF0/TaYumqSoe6MikR18/oK//bYt2t3RLkgo8Lp2ysEpnL6nWqYumqTbgl5HjNuuGP72iP2/Yqy+cs0jXnrPQ2fir86Xdz0pnflU6/Ys5rR8AAAMhcAEg915ZI931CalkhvSeH0lHnCWZLj2zrUlfWLNRB9pDkqRSv1tnL63R8XMrtKIuoEU1JfK4CGRITu/b9Tta9Pv1u3X/pnpFLVtzKgv1x0+uVs19H5W23i+deoN09r9n9oWjIemX50r1r0iBOuk9P3T+/Ub/BpxMhns/L7XvleadJn3k3vy9MfXrd0s7n3Ruti+9UKo7Xpp1vOQrGf7cqcq2pbcfkZ7/mbR9rRQL9T/GcEk3thz+uiEvtAcjOvVbj+uEeRWqLvHJsm1ZllTgdem4OeVaPb9S00oyf8NpImnpCuuynz6rtw52ym0a+vI7l+rqd8zN+Q2xjGnbJ735gHRgi3Rwi9SyQ+ps6H9cYZUz/9GMFVLJdKlommRFpXCXMz+Su8AZ0rByQf5+jgAY1q7mLj285YAa2oJq7gqrMxRVW09ELV1hBSMx7T3Uk3Z8TalPy2cGtGxmQEfVBjSrvEALq4vlPgzfF4KRmG5/dqdue3qn6tuCafumlfh0dLxec6sKVRsoUG1ZgWpK/RnrlPX8jhb9dO02VRR5dd25izSzrEB7Wrr1t1f3696N+/VGgzPs1rffe7T+MTEheeI7WKDOaVP3rJdO/rx01CVSQfno289YVAq1O49gu9Mm+4olf0DylznXybTJAIBRIHABIPdad0u/e5/UtNV5XlIrrbhMOvJidVcepTvW79HPn9yugx3pNzpdpqEZAb9mlRdoZlmhppX4VFHkUUWRsywv9Kq0wKNCr0uFHrcKvK4Jk7Fh27YiMVvBaEw94Zg6glF1BCPxpbPe0h3W7uZu7Wzu0vbGrrSfzzlLq3XzJctV3fm69ItzJSviDLtUvTTzlT200xk6qWW78/zoy51eWxXzh/5yEotK+19ybmJvuUc6sMnZXrlA+uiDUvG0zNc1U956RPrDZc6NsgTDdMZrrzvJee+lM5zf5cIKyXRLLo+TmeLx567e2WbbztAv3c1Sd4vU0+KsH9gsvXGfdGhH77GG6dxsLK6Wupqljv3Oz+lrzbmrP3Lqoc0N+uRvh570fm5loY6dXa65lUVaMqNEJX63FtWUZKUHbb7Z39qjT/1ug17Z26aaUp9+8qHjtHLOFMhQivRI+zZIO5+Wdj0l7XlBivYMf57ktLl1JzpBjMAs50Zc4lEyw7mhBmDCauwI6fX6dpUVelRbVpAXnwW2bWtLfbsee/2gHn3joDbta1NskDn7DEOaVuzT9IBf1SV+VZf6VF3iU02pX9UlvuQ2n9tUzLI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      "text/plain": [
       "<pyannote.core.feature.SlidingWindowFeature>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyannote.audio import Inference\n",
    "inference = Inference(model, step=2.5)\n",
    "output = inference(AUDIO_FILE)\n",
    "output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each of the 11 positions of the 5s window, the model outputs a 3-dimensional vector every 16ms (293 frames for 5 seconds), corresponding to the probabilities that each of (up to) 3 speakers is active.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11, 293, 3)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output.data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing a file from memory\n",
    "\n",
    "In case the audio file is not stored on disk, pipelines can also process audio provided as a `{\"waveform\": ..., \"sample_rate\": ...}` dictionary. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "type(waveform)=<class 'torch.Tensor'>\n",
      "waveform.shape=torch.Size([1, 480000])\n",
      "waveform.dtype=torch.float32\n"
     ]
    }
   ],
   "source": [
    "import torchaudio\n",
    "waveform, sample_rate = torchaudio.load(AUDIO_FILE)\n",
    "\n",
    "print(f\"{type(waveform)=}\")\n",
    "print(f\"{waveform.shape=}\")\n",
    "print(f\"{waveform.dtype=}\")\n",
    "\n",
    "audio_in_memory = {\"waveform\": waveform, \"sample_rate\": sample_rate}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pyannote.core.feature.SlidingWindowFeature>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output = inference(audio_in_memory)\n",
    "output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing part of a file\n",
    "\n",
    "If needed, `Inference` can be used to process only part of a file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pyannote.core.feature.SlidingWindowFeature>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyannote.core import Segment\n",
    "output = inference.crop(AUDIO_FILE, Segment(10, 20))\n",
    "output"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
